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DBMS > Ignite vs. KeyDB vs. Riak KV vs. TigerGraph

System Properties Comparison Ignite vs. KeyDB vs. Riak KV vs. TigerGraph

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonKeyDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, fault tolerant key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Key-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteignite.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.tigergraph.com
Technical documentationapacheignite.readme.io/­docsdocs.keydb.devwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.tigergraph.com
DeveloperApache Software FoundationEQ Alpha Technology Ltd.OpenSource, formerly Basho Technologies
Initial release2015201920092017
Current releaseApache Ignite 2.63.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++ErlangC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesyes infoby using the Redis Search modulerestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Native Erlang Interface
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)LuaErlangyes
Triggersyes (cache interceptors and events)noyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access control and ACLyes, using Riak SecurityRole-based access control

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More resources
IgniteKeyDBRiak KVTigerGraph
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